collaborators

5 papers

cs.CV2026

Reason in the Words You Speak: Idiolectal Paraphrasing Off-Policy Traces for Reasoning Distillation in VideoLLMs

Ji Soo Lee, Jinyoung Park, Seohyun Lee +4

Recent large language models achieve strong performance on complex reasoning tasks, where reinforcement learning with Group Relative Policy Optimization (GRPO) has emerged as a lea…

cs.AI2026

EduZone: A Framework for Evaluating LLM Safety for K-12 Students and Teachers

Junyeong Park, Jieun Han, Haneul Yoo +3

Large language models (LLMs) are increasingly used across diverse tasks in K-12 education, yet existing safety evaluations rarely examine how harmful or inappropriate content appea…

cs.CL2026

Relevance-aware Multi-context Contrastive Decoding for Retrieval-augmented Visual Question Answering

Jongha Kim, Byungoh Ko, Jeehye Na +2

Despite the remarkable capabilities of Large Vision Language Models (LVLMs), they still lack detailed knowledge about specific entities. Retrieval-augmented Generation (RAG) is a w…

cs.CV2025

TabFlash: Efficient Table Understanding with Progressive Question Conditioning and Token Focusing

Jongha Kim, Minseong Bae, Sanghyeok Lee +2

Table images present unique challenges for effective and efficient understanding due to the need for question-specific focus and the presence of redundant background regions. Exist…

cs.CL2025

One-Topic-Doesn't-Fit-All: Transcreating Reading Comprehension Test for Personalized Learning

Jieun Han, Daniel Lee, Haneul Yoo +5

Personalized learning has gained attention in English as a Foreign Language (EFL) education, where engagement and motivation play crucial roles in reading comprehension. We propose…